Alternatives and similar repositories for DnCNN-keras:

Users that are interested in DnCNN-keras are comparing it to the libraries listed below

• iteapoy / GANDenoising
  ☆53Updated 4 years ago
• lpj0 / MWCNN
  Multi-level Wavelet-CNN for Image Restoration
  ☆235Updated 4 years ago
• lbasek / image-denoising-benchmark
  Benchmarking Denoising Algorithms with Real Photographs
  ☆98Updated 4 years ago
• lizhengwei1992 / ResidualDenseNetwork-Pytorch
  Pytorch implement: Residual Dense Network for Image Super-Resolution
  ☆141Updated 6 years ago
• hengchuan / RDN-TensorFlow
  A TensorFlow implementation of CVPR 2018 paper "Residual Dense Network for Image Super-Resolution".
  ☆145Updated 5 years ago
• BrunoVox / ScSR
  Python implementation of "Single Image Super-Resolution via Sparse Representation" for educational purposes.
  ☆37Updated 6 years ago
• Ding-Liu / DeepDenoising
  ☆93Updated 6 years ago
• clxiao / Image-Denoising-State-of-the-art
  ☆31Updated 6 years ago
• Aoi-hosizora / FFDNet_pytorch
  An unofficial PyTorch implementation of a image denoising network, called FFDNet.
  ☆47Updated 5 years ago
• IDKiro / CBDNet-tensorflow
  Toward Convolutional Blind Denoising of Real Photograph
  ☆50Updated 10 months ago
• csjunxu / PolyU-Real-World-Noisy-Images-Dataset
  Real-world Noisy Image Denoising: A New Benchmark
  ☆242Updated 3 years ago
• liuhuang31 / BM3D-Denoise
  Using BM3D to denoise
  ☆219Updated last year
• lipengFu / DnCNN
  implementation of "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
  ☆14Updated 6 years ago
• nnUyi / SRGAN
  An implement of SRGAN(Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network) for tensorflow version
  ☆50Updated 7 years ago
• cswin / WIN
  Learning Pixel-Distribution Prior with Wider Convolution for Image Denoising
  ☆32Updated 7 years ago
• yjn870 / REDNet-pytorch
  PyTorch Implementation of image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections (NIPS …
  ☆97Updated 5 years ago
• lipengFu / IRCNN
  IRCNN Image denoise
  ☆36Updated 6 years ago
• galad-loth / DualCNN-TF
  Tensorflow based Implementation of the CVPR2018 paper: Learning Dual Convolutional Neural Networks for Low-Level Vision
  ☆43Updated 6 years ago
• kozistr / rcan-tensorflow
  Image Super-Resolution Using Very Deep Residual Channel Attention Networks Implementation in Tensorflow
  ☆53Updated 5 years ago
• VeroHU / supervised_blur_kernel_estimation
  If you have the original image and the blurred image, you can use this code to estimate the blur kernel.
  ☆11Updated 6 years ago
• NVlabs / PL4NN
  Perceptual Losses for Neural Networks: Caffe implementation of loss layers based on perceptual image quality metrics.
  ☆142Updated 7 years ago
• wbhu / DnCNN-tensorflow
  A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
  ☆366Updated 5 years ago
• imfing / CEIQ
  Code for "No-Reference Quality Assessment of Contrast-Distorted Images using Contrast Enhancement" by J. Yan, J. Li, X. Fu
  ☆38Updated 6 years ago
• cszn / FFDNet
  FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)
  ☆480Updated 3 years ago
• yjn870 / DnCNN-pytorch
  PyTorch implementation of Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP 2017)
  ☆27Updated 5 years ago
• 2wins / SRMD-pytorch
  A PyTorch Implementation of "Learning a Single Convolutional Super-Resolution Network for Multiple Degradations"
  ☆104Updated 6 years ago
• lyatdawn / MemNet-Tensorflow
  Tensorflow implementation of MemNet(http://cvlab.cse.msu.edu/pdfs/Image_Restoration%20using_Persistent_Memory_Network.pdf).
  ☆39Updated 7 years ago
• MaokeAI / SRCNN-keras
  ☆96Updated 7 years ago
• jtguan / Wavelet-Deep-Neural-Network-for-Stripe-Noise-Removal
  A deep learning approach for stripe noise removal
  ☆51Updated 2 years ago
• TaiXiangJiang / FastDeRain
  The Matlab implementation of FastDeRain and DIP
  ☆50Updated 4 years ago